Data 8: Foundations of Data Science

UC Berkeley, Spring 2026

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Week 4 Announcement

Feb 8 · 1 min read

1. Assignments Due
   • Homework 03 is due on Wednesday, February 11th @ 11 AM
   • Lab 04 is due on Friday, February 13th @ 5 PM
   • Homework 04 is due on Wednesday, February 18th @ 11 AM
   • Project 1: World Population and Poverty will be released on Friday
     • Checkpoint is due on Friday, February 20th @ 5 PM
     • Entire Project is due on Friday, February 27th @ 5 PM
2. Tutoring Section Sign-Ups
   • Go to sections.data8.org/tutoring to enroll in a tutoring section!
   • Details about tutoring sections can be found on this post
3. The midterm is on Tuesday, March 10th from 8-10PM
   • If you have a time conflict with the midterm, fill out the Alternate Exam Form ASAP

Week 1

Wed, Jan 21	Lecture 1 Introduction Discussion 1By the Numbers Lab 1Introduction (Due 1/23)	Reading 1.1, 1.2, 1.3
Fri, Jan 23	Lecture 2 Cause and Effect Homework 1Causality and Expressions (Due 1/28)	Reading 2

Week 2

Mon, Jan 26	Lecture 3 Python Discussion 2Intro to Tables & Causation Lab 2Table Operations (Due 1/30)	Reading 3
Wed, Jan 28	Lecture 4 Data Types	Reading 4, 5
Fri, Jan 30	Lecture 5 Tables Homework 2Arrays and Tables (Due 2/4)	Reading 6.1, 6.2

Week 3

Mon, Feb 02	Lecture 6 Case Study: Census Discussion 3Visualizations, Data Types, Extending Tables Lab 3Data Types and Arrays (Due 2/6)	Reading 6.3, 6.4
Wed, Feb 04	Lecture 7 Data Visualizations	Reading 7, 7.1
Fri, Feb 06	Lecture 8 Histograms Homework 3Table Manipulation and Visualization (Due 2/11)	Reading 7.2, 7.3

Week 4

Mon, Feb 09	Lecture 9 Functions Discussion 4More Visualizations, Intro to Functions Lab 4Functions and Visualizations (Due 2/13)	Reading 8, 8.1
Wed, Feb 11	Lecture 10 Groups	Reading 8.2, 8.3
Fri, Feb 13	Lecture 11Pivots and Joins Homework 4Functions, Tables, and Groups (Due 2/18) Project 1World Population and Poverty (Checkpoint Due 2/20, Entire Project Due 2/27)	Reading 8.4

Week 5

Mon, Feb 16	No Lecture Discussion 5Table Methods, Conditionals & Iteration
Wed, Feb 18	Lecture 12Iteration	Reading 9, 9.1, 9.2
Fri, Feb 20	Lecture 13Chance Homework 5Chance, Empirical Probability Distribution (Due 2/25)	Reading 9.2, 9.3, 9.4

Week 6

Mon, Feb 23	Lecture 14Sampling Discussion 6Chance & Models Lab 5Simulations (Due 2/27)	Reading 9.5, 10, 10.1
Wed, Feb 25	Lecture 15Models	Reading 10.2, 10.3, 10.4
Fri, Feb 27	Lecture 16Comparing Distributions Homework 6Assessing Models and Testing Hypotheses (Due 3/6)	Reading 11.1, 11.2

Week 7

Mon, Mar 02	Lecture 17Decisions and Uncertainty Discussion 7Assessing Models Lab 6Examining the Therapeutic Touch (Due 3/6)	Reading 11.3, 11.4
Wed, Mar 04	Lecture 18A/B Testing	Reading 11.4, 12.1
Fri, Mar 06	Lecture 19Causality	Reading 12.2, 12.3

Week 8

Mon, Mar 09	Lecture 20Midterm Review Discussion 8Midterm Review
Tue, Mar 10	Exam Midterm Exam, 8-10pm
Wed, Mar 11	No Lecture
Fri, Mar 13	Lecture 21Privacy

Week 9

Mon, Mar 16	Lecture 22Confidence Intervals Discussion 9The Bootstrap Lab 7Great British Bake Off (A/B Test) (Due 3/20)	Reading 13, 13.1, 13.2
Wed, Mar 18	Lecture 23Interpreting Confidence	Reading 13.3, 13.4
Fri, Mar 20	Lecture 24Center and Spread Homework 7Confidence Intervals (Due 4/1)	Reading 14, 14.1, 14.2

Week 10

Mon, Mar 23	No Lecture
Wed, Mar 25	No Lecture
Fri, Mar 27	No Lecture

Week 11

Mon, Mar 30	Lecture 25The Normal Distribution Discussion 10The Central Limit Theorem Lab 8Normal Distribution and Variability of Sample Means (Due 4/3)	Reading 14.3, 14.4
Wed, Apr 01	Lecture 26Sample Means	Reading 14.5
Fri, Apr 03	Lecture 27Case Study: Elections Homework 8Sample Sizes and Confidence Intervals (Due 4/8) Project 2Climate (Checkpoint Due 4/10, Entire Project Due 4/17)	Reading 14.6

Week 12

Mon, Apr 06	Lecture 28Numerical Associations Discussion 11Correlation & Regression	Reading 15.1
Wed, Apr 08	Lecture 29Linear Regression	Reading 15.2
Fri, Apr 10	Lecture 30Least Squares Homework 9Linear Regression (Due 4/15)	Reading 15.3, 15.4

Week 13

Mon, Apr 13	Lecture 31Residuals Discussion 12Residuals Lab 9Regression (Due 4/17)	Reading 15.5
Wed, Apr 15	Lecture 32Regression Inference	Reading 16
Fri, Apr 17	Lecture 33Classification Homework 10Regression Inference (Due 4/22) Project 3Movie Classification (Checkpoint Due 4/24, Entire Project Due 5/1)	Reading 17.1, 17.2

Week 14

Mon, Apr 20	Lecture 34Implementing Classifiers Discussion 13Intervals for Predictions & kNN Classification	Reading 17.3, 17.4
Wed, Apr 22	Lecture 35Evaluating Classifiers	Reading 17.5
Fri, Apr 24	Lecture 36Text Classification Homework 11Classification (Due 4/29)	Reading 17.6

Week 15

Mon, Apr 27	Lecture 37Updating Probabilities Discussion 14MLR & Bayes Lab 10Conditional Probability (Due 5/1)	Reading 18, 18.1, 18.2
Wed, Apr 29	Lecture 38Case Study: Health
Fri, May 01	Lecture 39Conclusion Homework 12Extra Credit (Due 5/6)

Week 16

Mon, May 04	RRR Week
Wed, May 06	RRR Week
Fri, May 08	RRR Week

Week 17

Mon, May 11
Tue, May 12	Exam Final Exam, 7-10pm